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基于树库的四六级作文语篇关系分析
引用本文:蒋联江,赵以.基于树库的四六级作文语篇关系分析[J].集美大学学报(教育科学版),2012,13(2):115-119.
作者姓名:蒋联江  赵以
作者单位:集美大学外国语学院,福建厦门,361021
基金项目:集美大学教育教学改革项目
摘    要:语篇关系作为衔接机制对语篇结构的完整性与连贯性起重要作用,以语料库语言学方法,收集大学英语四六级作文素材组成小型封闭生语料库,然后利用RST工具标注作文语篇结构组建RST语篇树库,基于树库的数据驱动学习提出中国英语学习者偏好使用的语篇关系集合及相关触发语的选用特征,结论是语篇关系的正误使用与作文分数等级呈正负相关的线性关系。

关 键 词:语篇关系  触发语  RST工具  语篇树库

Analysis of Discourse Relation in CET Writings Based on Treebank
JIANG Lian-jiang,ZHAO Yi.Analysis of Discourse Relation in CET Writings Based on Treebank[J].Journal of Jimei University,2012,13(2):115-119.
Authors:JIANG Lian-jiang  ZHAO Yi
Institution:(School of Foreign Languages,Jimei University Xiamen 361021,China)
Abstract:As a cohesive device,discourse relation is critical in unity and coherence of discourse structure.The present study annotated a small-scale corpus of CET-4 compositions and constructed a closed RST discourse Treebank with RSTTool.Taxonomy of discourse relations as well as markers used by Chinese EFL students is proposed after a corpora data-driven study.Statistical data is calculated to advocate an either positive or negative correlation between correct and improper use of discourse relations and grade levels of those CET-4 compositions.
Keywords:discourse relation  marker  RSTTool  discourse Treebank
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